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Quantitative Evaluation of University Lecturing

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Teaching and Learning in a Digital World (ICL 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 716))

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Abstract

In this paper we present a method for evaluating the quality of university lectures. The method is based on an analysis of students’ behavior during working with online materials after visiting the classroom lectures or viewing prerecorded lectures. The students’ behavior is monitored via analysis of Log files, and via special extensions of e-book readers and online movie viewers. All the data are recorded on a web site. The gathered data is analyzed to draw conclusions about the quality of lecturing.

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References

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Author information

Authors and Affiliations

  1. Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria

    Frank Kappe & Nikolai Scerbakov

Authors
  1. Frank Kappe
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  2. Nikolai Scerbakov
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Corresponding author

Correspondence to Nikolai Scerbakov .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences , St. Magdalen, Kärnten, Austria

    Michael E. Auer

  2. International E-Learning Association Kaleidoscope Learning, New York, New York, USA

    David Guralnick

  3. Obuda University , Budapest, Hungary

    Istvan Simonics

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Kappe, F., Scerbakov, N. (2018). Quantitative Evaluation of University Lecturing. In: Auer, M., Guralnick, D., Simonics, I. (eds) Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-73204-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-73204-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73203-9

  • Online ISBN: 978-3-319-73204-6

  • eBook Packages: EngineeringEngineering (R0)

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